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Adaptive S-method Based ISAR Imaging of Maneuvering Targets

机译:基于自适应S方法的ISAR机动目标成像

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The range-Doppler imaging algorithm is a basic method for ISAR imaging, which is based on the uniform rotation of a target in a fixed plane. For maneuvering target, however, its rotational velocity and the axle often vary with time, so the second-order phase terms are induced to target echoes. Aimed at this situation, an adaptive S-method based imaging algorithm is proposed in this paper. First, translational motion compensation is implemented to the raw data. Then, this algorithm is applied to the echo of each range cell, to eliminate second-order phase terms and obtain ISAR imaging in the range frequency-Doppler domain. Since it only requires complex multiplications and adding, this algorithm has low computational complexity in practical use. In addition, due to the adaptiveness, it can adjust itself according to the returned signals, and reduce the influence of cross-terms for each range cell at the same time. The measured data has proved the validity of this algorithm.
机译:距离多普勒成像算法是ISAR成像的基本方法,它基于目标在固定平面内的均匀旋转。但是,对于机动目标,其旋转速度和轴通常随时间变化,因此将二阶相位项诱导为目标回波。针对这种情况,提出了一种基于自适应S方法的成像算法。首先,对原始数据执行平移运动补偿。然后,将该算法应用于每个距离单元的回波,以消除二阶相位项,并在距离频率多普勒域中获得ISAR成像。由于该算法仅需要复杂的乘法和加法运算,因此在实际使用中具有较低的计算复杂度。此外,由于具有自适应性,它可以根据返回的信号进行自我调整,并同时减少交叉项对每个范围单元的影响。实测数据证明了该算法的有效性。

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